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08/23/2023
From Instructions to Intrinsic Human Values – A Survey of Alignment Goals for Big Models
Big models, exemplified by Large Language Models (LLMs), are models typi...
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04/27/2023
Towards Explainable Collaborative Filtering with Taste Clusters Learning
Collaborative Filtering (CF) is a widely used and effective technique fo...
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03/15/2023
DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision
Algorithmic fairness has become an important machine learning problem, e...
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12/21/2022
Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization
Sentence summarization shortens given texts while maintaining core conte...
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12/16/2022
DuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text Generation
Self-training (ST) has prospered again in language understanding by augm...
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11/24/2022
Prototypical Fine-tuning: Towards Robust Performance Under Varying Data Sizes
In this paper, we move towards combining large parametric models with no...
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10/13/2022
Self-explaining deep models with logic rule reasoning
We present SELOR, a framework for integrating self-explaining capabiliti...
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06/19/2022
A Unified Understanding of Deep NLP Models for Text Classification
The rapid development of deep natural language processing (NLP) models f...
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04/10/2022
ProFairRec: Provider Fairness-aware News Recommendation
News recommendation aims to help online news platform users find their p...
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01/23/2022
Reinforcement Routing on Proximity Graph for Efficient Recommendation
We focus on Maximum Inner Product Search (MIPS), which is an essential p...
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02/18/2021
Learning Fair Representations for Bipartite Graph based Recommendation
As a key application of artificial intelligence, recommender systems are...
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09/21/2020
Interactive Steering of Hierarchical Clustering
Hierarchical clustering is an important technique to organize big data f...
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06/30/2020
Fairness-aware News Recommendation with Decomposed Adversarial Learning
News recommendation is important for online news services. Most news rec...
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12/23/2019
Discovering Protagonist of Sentiment with Aspect Reconstructed Capsule Network
Most recent existing aspect-term level sentiment analysis (ATSA) approac...
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04/20/2019
A Neural Influence Diffusion Model for Social Recommendation
Precise user and item embedding learning is the key to building a succes...
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11/07/2018
SocialGCN: An Efficient Graph Convolutional Network based Model for Social Recommendation
Collaborative Filtering (CF) is one of the most successful approaches fo...
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02/04/2017